Instructions to use Omarrran/quantized_english_speecht5_finetune-tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Omarrran/quantized_english_speecht5_finetune-tts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Omarrran/quantized_english_speecht5_finetune-tts")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Omarrran/quantized_english_speecht5_finetune-tts") model = AutoModelForTextToSpectrogram.from_pretrained("Omarrran/quantized_english_speecht5_finetune-tts") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- config.json +92 -0
- preprocessor_config.json +22 -0
- pytorch_model.bin +3 -0
- quantization.log +27 -0
- sentencepiece.bpe.model +3 -0
- special_tokens_map.json +6 -0
- tokenizer_config.json +49 -0
- vocab.json +0 -0
config.json
ADDED
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{
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"_name_or_path": "Omarrran/english_speecht5_finetuned",
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"activation_dropout": 0.1,
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"apply_spec_augment": true,
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| 5 |
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"architectures": [
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"SpeechT5ForTextToSpeech"
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],
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"attention_dropout": 0.1,
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| 9 |
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"bos_token_id": 0,
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| 10 |
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"conv_bias": false,
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"conv_dim": [
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512,
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512,
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512,
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512,
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512,
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512,
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512
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],
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"conv_kernel": [
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10,
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3,
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3,
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3,
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3,
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2,
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2
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],
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"conv_stride": [
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5,
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2,
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2,
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2,
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2,
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2,
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2
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],
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| 38 |
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"decoder_attention_heads": 12,
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| 39 |
+
"decoder_ffn_dim": 3072,
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| 40 |
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"decoder_layerdrop": 0.1,
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| 41 |
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"decoder_layers": 6,
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| 42 |
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"decoder_start_token_id": 2,
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| 43 |
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"encoder_attention_heads": 12,
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| 44 |
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"encoder_ffn_dim": 3072,
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| 45 |
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"encoder_layerdrop": 0.1,
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| 46 |
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"encoder_layers": 12,
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"encoder_max_relative_position": 160,
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| 48 |
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"eos_token_id": 2,
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| 49 |
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"feat_extract_activation": "gelu",
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"feat_extract_norm": "group",
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"feat_proj_dropout": 0.0,
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"guided_attention_loss_num_heads": 2,
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"guided_attention_loss_scale": 10.0,
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"guided_attention_loss_sigma": 0.4,
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"hidden_act": "gelu",
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"hidden_dropout": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"is_encoder_decoder": true,
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"layer_norm_eps": 1e-05,
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"mask_feature_length": 10,
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"mask_feature_min_masks": 0,
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"mask_feature_prob": 0.0,
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"mask_time_length": 10,
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"mask_time_min_masks": 2,
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"mask_time_prob": 0.05,
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"max_length": 1876,
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| 68 |
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"max_speech_positions": 1876,
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"max_text_positions": 600,
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"model_type": "speecht5",
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"num_conv_pos_embedding_groups": 16,
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"num_conv_pos_embeddings": 128,
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| 73 |
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"num_feat_extract_layers": 7,
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"num_mel_bins": 80,
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"pad_token_id": 1,
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"positional_dropout": 0.1,
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"reduction_factor": 2,
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"scale_embedding": false,
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"speaker_embedding_dim": 512,
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"speech_decoder_postnet_dropout": 0.5,
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"speech_decoder_postnet_kernel": 5,
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"speech_decoder_postnet_layers": 5,
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"speech_decoder_postnet_units": 256,
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"speech_decoder_prenet_dropout": 0.5,
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"speech_decoder_prenet_layers": 2,
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"speech_decoder_prenet_units": 256,
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"torch_dtype": "float32",
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"transformers_version": "4.44.2",
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"use_cache": false,
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"use_guided_attention_loss": true,
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"vocab_size": 81
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}
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preprocessor_config.json
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{
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"do_ceptral_normalize": true,
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"do_normalize": false,
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"feature_extractor_type": "Speech2TextFeatureExtractor",
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"feature_size": 1,
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"fmax": 7600,
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"fmin": 80,
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"frame_signal_scale": 1.0,
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"hop_length": 16,
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"mel_floor": 1e-10,
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"normalize_means": true,
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"normalize_vars": true,
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"num_mel_bins": 80,
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"padding_side": "right",
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"padding_value": 0.0,
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"processor_class": "SpeechT5Processor",
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"reduction_factor": 2,
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"return_attention_mask": true,
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"sampling_rate": 16000,
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"win_function": "hann_window",
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"win_length": 64
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:6fd9bf63c0fef00f5b4c0dfd6141830a72635c0d4715fdcb14e4646c1ce3fa8d
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size 186775626
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quantization.log
ADDED
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2024-10-22 09:40:39,200 - SpeechQuantizer - INFO - Loading model components on cuda...
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2024-10-22 09:40:39,307 - SpeechQuantizer - INFO - Attempting to load tokenizer from Omarrran/english_speecht5_finetuned
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2024-10-22 09:40:39,416 - SpeechQuantizer - WARNING - Original tokenizer loading failed: expected str, bytes or os.PathLike object, not NoneType
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2024-10-22 09:40:39,428 - SpeechQuantizer - INFO - Attempting to load tokenizer from fallback model facebook/s2t-small-librispeech-asr
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2024-10-22 09:40:39,553 - SpeechQuantizer - INFO - Successfully loaded tokenizer from facebook/s2t-small-librispeech-asr
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2024-10-22 09:40:40,372 - SpeechQuantizer - INFO - Model components loaded successfully
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2024-10-22 09:40:40,386 - SpeechQuantizer - INFO - Memory usage: RSS=3731.4MB
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2024-10-22 09:40:40,395 - SpeechQuantizer - INFO - GPU memory: 2342.8MB allocated
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2024-10-22 09:40:40,404 - SpeechQuantizer - INFO - Starting model calibration...
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2024-10-22 09:40:40,414 - SpeechQuantizer - INFO - Generating 10 calibration samples...
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2024-10-22 09:40:45,565 - SpeechQuantizer - WARNING - Sample generation failed: chirp() takes 0 positional arguments but 4 were given
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2024-10-22 09:40:45,592 - SpeechQuantizer - WARNING - Sample generation failed: chirp() takes 0 positional arguments but 4 were given
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2024-10-22 09:40:45,609 - SpeechQuantizer - WARNING - Sample generation failed: chirp() takes 0 positional arguments but 4 were given
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2024-10-22 09:40:45,619 - SpeechQuantizer - WARNING - Sample generation failed: chirp() takes 0 positional arguments but 4 were given
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2024-10-22 09:40:45,651 - SpeechQuantizer - INFO - Successfully generated 6 calibration samples
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2024-10-22 09:40:45,749 - SpeechQuantizer - WARNING - Calibration sample failed: SpeechT5ForSpeechToText.forward() got an unexpected keyword argument 'input_features'
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2024-10-22 09:40:45,766 - SpeechQuantizer - WARNING - Calibration sample failed: SpeechT5ForSpeechToText.forward() got an unexpected keyword argument 'input_features'
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| 18 |
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2024-10-22 09:40:45,785 - SpeechQuantizer - WARNING - Calibration sample failed: SpeechT5ForSpeechToText.forward() got an unexpected keyword argument 'input_features'
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| 19 |
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2024-10-22 09:40:45,801 - SpeechQuantizer - WARNING - Calibration sample failed: SpeechT5ForSpeechToText.forward() got an unexpected keyword argument 'input_features'
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2024-10-22 09:40:45,814 - SpeechQuantizer - WARNING - Calibration sample failed: SpeechT5ForSpeechToText.forward() got an unexpected keyword argument 'input_features'
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2024-10-22 09:40:45,824 - SpeechQuantizer - WARNING - Calibration sample failed: SpeechT5ForSpeechToText.forward() got an unexpected keyword argument 'input_features'
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2024-10-22 09:40:45,832 - SpeechQuantizer - INFO - Calibration completed: 0/6 samples successful (0.0%)
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2024-10-22 09:40:45,840 - SpeechQuantizer - WARNING - No successful calibrations. Proceeding with caution.
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2024-10-22 09:40:45,847 - SpeechQuantizer - INFO - Starting quantization process...
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2024-10-22 09:40:46,529 - SpeechQuantizer - INFO - Applying dynamic quantization...
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2024-10-22 09:40:48,931 - SpeechQuantizer - INFO - Quantization completed successfully
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2024-10-22 09:40:48,950 - SpeechQuantizer - INFO - Saving and pushing model...
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sentencepiece.bpe.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:052a168787a9160b4b2ba54e4995e9600298812c34191ca3f70cea51cd4f5c1e
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| 3 |
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size 416684
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special_tokens_map.json
ADDED
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{
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"bos_token": "<s>",
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| 3 |
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"eos_token": "</s>",
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| 4 |
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"pad_token": "<pad>",
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"unk_token": "<unk>"
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}
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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| 3 |
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"0": {
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| 4 |
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"content": "<s>",
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| 5 |
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"lstrip": false,
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| 6 |
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"normalized": false,
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| 7 |
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"rstrip": false,
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| 8 |
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"single_word": false,
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| 9 |
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"special": true
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| 10 |
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},
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| 11 |
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"1": {
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| 12 |
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"content": "<pad>",
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| 13 |
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"lstrip": false,
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| 14 |
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"normalized": false,
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| 15 |
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"rstrip": false,
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| 16 |
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"single_word": false,
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| 17 |
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"special": true
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| 18 |
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},
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| 19 |
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"2": {
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| 20 |
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"content": "</s>",
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| 21 |
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"lstrip": false,
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| 22 |
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"normalized": false,
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| 23 |
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"rstrip": false,
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| 24 |
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"single_word": false,
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| 25 |
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"special": true
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| 26 |
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},
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| 27 |
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"3": {
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| 28 |
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"content": "<unk>",
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| 29 |
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"lstrip": false,
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| 30 |
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"normalized": false,
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| 31 |
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"rstrip": false,
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| 32 |
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"single_word": false,
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| 33 |
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"special": true
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| 34 |
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}
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| 35 |
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},
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| 36 |
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"additional_special_tokens": [],
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| 37 |
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"bos_token": "<s>",
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| 38 |
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"clean_up_tokenization_spaces": true,
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| 39 |
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"do_lower_case": true,
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| 40 |
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"do_upper_case": false,
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| 41 |
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"eos_token": "</s>",
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| 42 |
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"lang_codes": null,
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| 43 |
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"model_max_length": 1000000000000000019884624838656,
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| 44 |
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"pad_token": "<pad>",
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| 45 |
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"sp_model_kwargs": {},
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| 46 |
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"tgt_lang": null,
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| 47 |
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"tokenizer_class": "Speech2TextTokenizer",
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| 48 |
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"unk_token": "<unk>"
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}
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vocab.json
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